The Peaks and Valleys of Connection – Lessons from Smart Village Initiatives and Supportive Policies in the EU and UK for a Canadian Context
Bibliographic record
Abstract
Limited by an incoherent government policy regime towards rural connectivity and development, rural communities across Canada, especially in mountainous regions, struggle to access and implement innovative technologies and strategies to address local development needs. Meanwhile, The European Union (EU) and United Kingdom (UK) have begun to experiment with Smart Village policy and pilot projects. Using a mixed methods approach, this research investigates how the Smart Village approach has been employed in the EU and UK to support rural development in mountainous regions. The research findings are a culmination of a content analysis of EU and UK rural development policies and a case study of Smart Village initiatives in the Scottish Highlands and Uplands. Research findings demonstrate the intersection of geography, technology, and policy in rural development, providing several transferable lessons for Canadian policy makers and mountainous communities seeking enhance development outcomes through place and participatory based strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.034 | 0.021 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".